Sachini Weerasekara

weerasekara.s [AT] northeastern [DOT] edu

I am a PhD student in machine learning at Northeastern University, Boston, MA, where I am fortunate to be advised by Prof. Jacqueline Isaacs and Prof. Sagar Kamarthi. I previously earned my master’s degree at Northeastern University, Boston, MA and my bachelor’s degree from the University of Moratuwa, Sri Lanka.

I have also spent time doing machine learning research, applied AI, and building data pipelines at Takeda Pharmaceuticals, Dell Technologies, Aikium Inc , and EFL Global.

My research is focused on developing machine learning methods for scientific discovery, with applications spanning human biology, biological design, and autonomous systems. To this end, I develop methods that carry even small amounts of high-value signals much further in learning systems to generalize more effectively even with limited data. Across these problems, I am interested in the full machine learning lifecycle from building data and experimentation pipelines and analyzing large-scale datasets to developing, evaluating, and deploying models. Ultimately, my goal is to develop machine learning methods that enable models to learn robust representations, generalize beyond their training distributions, and remain reliable in real-world deployment.

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